Abstract/Summary

This paper investigates multiple criteria decision making (MCDM) with q-rung orthopair fuzzy information. Recently, some aggregation operators have been developed for q-rung orthopair fuzzy sets (q-ROFSs). However, the main flaw of these operators is that they fail to capture the interrelationship among multiple input arguments. The dual Maclaurin symmetric mean (DMSM) is an efficient aggregation function which can reflect the interrelationship among multiple input variables. Motivated by the dual Maclaurin symmetric mean (DMSM), we extend DMSM to q-ROFSs and propose some q-rung orthopair fuzzy dual Maclaurin symmetric mean operators. We also investigate the properties and special cases of these operators. Further, a novel approach to multiple criteria decision making (MCDM) is introduced. We apply the proposed method in a best paper selection problem to demonstrate its effectiveness and advantages.